Update to new version of commode-utils

JetBrains-Research · Sep 20, 2021 · be05daf · be05daf
1 parent 84a8d01
commit be05daf
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Showing 3 changed files with 9 additions and 11 deletions.
diff --git a/code2seq/utils/train.py b/code2seq/utils/train.py
@@ -1,10 +1,10 @@
 from os.path import basename
 
 import torch
-from commode_utils.callback import UploadCheckpointCallback, PrintEpochResultCallback
+from commode_utils.callback import PrintEpochResultCallback, ModelCheckpointWithUpload
 from omegaconf import DictConfig
 from pytorch_lightning import seed_everything, Trainer, LightningModule, LightningDataModule
-from pytorch_lightning.callbacks import ModelCheckpoint, EarlyStopping, LearningRateMonitor
+from pytorch_lightning.callbacks import EarlyStopping, LearningRateMonitor
 from pytorch_lightning.loggers import WandbLogger
 
 
@@ -18,15 +18,14 @@ def train(model: LightningModule, data_module: LightningDataModule, config: Dict
     wandb_logger = WandbLogger(project=f"{model_name} -- {dataset_name}", log_model=False, offline=config.log_offline)
 
     # define model checkpoint callback
-    checkpoint_callback = ModelCheckpoint(
+    checkpoint_callback = ModelCheckpointWithUpload(
         dirpath=wandb_logger.experiment.dir,
         filename="{epoch:02d}-val_loss={val/loss:.4f}",
         monitor="val/loss",
         every_n_epochs=params.save_every_epoch,
         save_top_k=-1,
         auto_insert_metric_name=False,
     )
-    upload_checkpoint_callback = UploadCheckpointCallback(wandb_logger.experiment.dir)
     # define early stopping callback
     early_stopping_callback = EarlyStopping(patience=params.patience, monitor="val/loss", verbose=True, mode="min")
     # define callback for printing intermediate result
@@ -48,7 +47,6 @@ def train(model: LightningModule, data_module: LightningDataModule, config: Dict
             lr_logger,
             early_stopping_callback,
             checkpoint_callback,
-            upload_checkpoint_callback,
             print_epoch_result_callback,
         ],
         resume_from_checkpoint=config.get("checkpoint", None),

diff --git a/requirements.txt b/requirements.txt
@@ -2,10 +2,10 @@ black==21.7b0
 mypy==0.910
 
 torch==1.9.0
-pytorch-lightning==1.4.2
-torchmetrics==0.5.0
+pytorch-lightning==1.4.7
+torchmetrics==0.5.1
 
-tqdm==4.62.1
-wandb==0.12.0
+tqdm==4.62.2
+wandb==0.12.2
 omegaconf==2.1.1
-commode-utils==0.3.8
+commode-utils==0.3.9
diff --git a/setup.py b/setup.py
@@ -1,6 +1,6 @@
 from setuptools import setup, find_packages
 
-VERSION = "1.0.1"
+VERSION = "1.0.2"
 
 with open("README.md") as readme_file:
     readme = readme_file.read()